Triple
T31653434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Dodson |
E807795
|
entity |
| Predicate | hasWonRealityShow |
P194482
|
FINISHED |
| Object | The Ultimate Fighter 14 |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Ultimate Fighter 14 | Statement: [John Dodson, hasWonRealityShow, The Ultimate Fighter 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonRealityShow Context triple: [John Dodson, hasWonRealityShow, The Ultimate Fighter 14]
-
A.
hasRealityTVSeries
Indicates that an entity is the subject or focus of a reality television series.
-
B.
hasAwardShow
Indicates that an entity organizes, hosts, or is associated with a specific award show or ceremony.
-
C.
hasRealityTVElement
Indicates that something includes characteristics, themes, or stylistic features commonly associated with reality television.
-
D.
hasWonEGOT
Indicates that an individual has won all four major entertainment awards: an Emmy, a Grammy, an Oscar, and a Tony.
-
E.
hasTelevisionTalentShowConnection
chosen
Indicates a relationship where an entity is connected to a television talent show, such as by participating in, producing, hosting, judging, or otherwise being directly involved with it.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: April 30, 2026, 10:54 p.m.